Research Interests:

○ Computational Biology: Classification of coding and non-coding RNAs, Classification of ncRNA classes, Predicting protein–protein interactions, identification of pathogenic bacteria using Raman spectroscopy, Sequence alignments, DNA methylation, de-novo transcriptome assembly

○ Deep Learning: Sequence to sequence learning, Image classification, Modeling complex chemical processes

○ Machine Learning: Improving performance of ML algorithms through data normalization and feature weighting approaches

○ Optimization Algorithms: Solving NP-hard problems related to machine and deep learning domain

Education:

2015–2020, Doctor of Philosophy, Sant Longowal Institute of Engineering and Technology Sangrur, India

2013–2015, Master of Technology, Punjabi University Patiala, India

2010–2013, Bachelor of Engineering, Sant Longowal Institute of Engineering and Technology Sangrur, India

Selected Publications:

[1] Dalwinder Singh and Joy Roy. A large scale benchmark study for the classification of protein-coding and non-coding rnas. Nucleic Acids Research, 50:12094-12111, 2022.

[2] Sivasubramanian Rajarammohan, Lovenpreet Kaur, Anjali Verma, Dalwinder Singh, Shrikant Mantri, Joy K Roy, Tilak Raj Sharma, Ashwani Pareek, and Pramod Kaitheri Kandoth. Genome sequencing and assembly of lathyrus sativus, a nutrient-rich hardy legume crop. Scientific Data, 10:32, 2023.

[3] Saloni Sharma, Ashish Kumar, Dalwinder Singh, Anita Kumari, Payal Kapoor, Satveer Kaur, Bhawna Shreon, and Monika Garg. Integrated transcriptional and metabolomics signature pattern of pigmented wheat to insight the seed pigmentation and other associated features. Plant Physiology and Biochemistry, 189:59–70, 2022.

[4] Koushik Shah, Raminder Kaur, Nishtha Sharma, Prateek Jain, Dalwinder Singh, Shrikant Mantri, and Vikas Rishi. The dna binding landscape of four seed-specific bzip transcription factors in bread wheat:use of bind-n-seq in vitro analysis. PREPRINT. https://doi.org/10.21203/rs.3.rs-1787800/v2, 2022.

[5] Dalwinder Singh and Birmohan Singh. Sensitivity analysis of feature weighting for classification. Pattern Analysis and Applications, pages 1–17, 2022.

[6] Dalwinder Singh and Birmohan Singh. Feature wise normalization: An effective way of normalizing data. Pattern Recognition, 122:108307, 2022.

[7] Senthil M Arumugam, Dalwinder Singh, Sangeeta Mahala, Bhawana Devi, Sandeep Kumar, Sunaina Jakhu, and Sasikumar Elumalai. Mgo/cao nanocomposite facilitates economical production of d-fructose and d-allulose using glucose and its response prediction using a dnn model. Industrial & Engineering Chemistry Research, 61(6):2524–2537, 2022.

[8] Dalwinder Singh, Akansha Madhawan, and Joy Roy. Identification of multiple rnas using feature fusion. Briefings in Bioinformatics, 22(6):bbab178, 2021.

[9] Sangeeta Mahala, Senthil M Arumugam, Sandeep Kumar, Dalwinder Singh, Shelja Sharma, Bhawana Devi, Sudesh K Yadav, and Sasikumar Elumalai. Sn doping on ta2o5 facilitates glucose isomerization for enriched 5-hydroxymethylfurfural production and its true response prediction using a neural network model. ChemCatChem, 13(22):4787–4798, 2021.

[10] Dalwinder Singh and Birmohan Singh. Effective and efficient classification of gastrointestinal lesions: combining data preprocessing, feature weighting, and improved ant lion optimization. Journal of Ambient Intelligence and Humanized Computing, 12(9):8683–8698, 2021.

[11] Dalwinder Singh and Birmohan Singh. Investigating the impact of data normalization on classification performance. Applied Soft Computing, 97:105524, 2020.

[12] Dalwinder Singh, Birmohan Singh, and Manpreet Kaur. Simultaneous feature weighting and parameter determination of neural networks using ant lion optimization for the classification of breast cancer. Biocybernetics and Biomedical Engineering, 40(1):337–351, 2020.

[13] Dalwinder Singh and Birmohan Singh. Hybridization of feature selection and feature weighting for high dimensional data. Applied Intelligence, 49(4):1580–1596, 2019.

[14] Birmohan Singh, Manpreet Kaur, Dalwinder Singh, and Gurwinder Singh. Automatic number plate recognition system by character position method. International Journal of Computational Vision and Robotics, 6(1-2):94–112, 2016.